activity
20192026
most citedRetrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

13 citations · 48 across the 62 of their papers we have counts for

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6 papers · 1 filter

cs.NI2025

Optimize Replica Server Placement in a Satellite Network

Zhiyuan He, Yi Xu, Cheng Luo +2

Satellite communication offers Internet connectivity to remote locations, such as villages, deserts, mountains, and at sea. However, transmitting content over satellite networks is…

cs.NI2025

Congestion Control System Optimization with Large Language Models

Zhiyuan He, Aashish Gottipati, Lili Qiu +2

Congestion control is a fundamental component of Internet infrastructure, and researchers have dedicated considerable effort to developing improved congestion control algorithms. H…

cs.NI2025

Joint Optimization of Handoff and Video Rate in LEO Satellite Networks

Kyoungjun Park, Zhiyuan He, Cheng Luo +4

Low Earth Orbit (LEO) satellite communication is a promising approach to providing Internet connectivity to users in many remote areas. As videos are likely to account for most tra…

cs.NI2025

Real-Time Neural-Enhancement for Online Cloud Gaming

Shan Jiang, Zhenhua Han, Haisheng Tan +6

Online Cloud gaming demands real-time, high-quality video transmission across variable wide-area networks (WANs). Neural-enhanced video transmission algorithms employing super-reso…

cs.NI2024

A Queueing Theoretic Perspective on Low-Latency LLM Inference with Variable Token Length

Yuqing Yang, Yuedong Xu, Lei Jiao

Large language models (LLMs) propel the prosperity of interactive AI applications showcased by ChatGPT that demand timely response of inference services. However, LLM inference is…

cs.NI2024

Designing Network Algorithms via Large Language Models

Zhiyuan He, Aashish Gottipati, Lili Qiu +4

We introduce NADA, the first framework to autonomously design network algorithms by leveraging the generative capabilities of large language models (LLMs). Starting with an existin…